A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries

Alinezhad, Masoud; Mahdavi, Iraj; Hematian, Milad; Tirkolaee, Erfan Babaee

doi:10.1007/s10668-021-01809-y

Cited by 44 publications

(18 citation statements)

References 54 publications

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“…Second, it is easily understandable and useful for practical models (Alizadeh et al, 2020a, b). We found the LP-metrics method as one of the most used approaches, which is also more perceptible for executives compared to other methods, and in many cases of using this method such as Shabbir et al ( 2021), Alinezhad et al (2022) and Jabarzadeh et al (2020), acceptable results have been provided. This method tries to minimize the bias of objective functions relative to an ideal solution.…”

Section: Lp Metric Methodsmentioning

confidence: 88%

Viable healthcare supply chain network design for a pandemic

et al. 2022

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The recent COVID-19 pandemic revealed that healthcare networks must have a flexible and effective structure. In this study, we develop a viable healthcare network design for a pandemic using a multi-stage stochastic approach. We propose a multi-level network that includes health centers, computed tomography scan centers, hospitals, and clinics. Patients have conditions to returning to normal life or quarantining at home. Three objectives are defined: maximizing the probability of patient recovery, minimizing the costs of all centers in the network, and minimizing the Coronavirus death rate. We investigate a real case study in Iran to demonstrate the model’s applicability. Finally, we compare the healthcare supply chain network design in a pandemic with a normal situation to advise how the network can continue to remain viable.

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Section: Lp Metric Methodsmentioning

confidence: 88%

Viable healthcare supply chain network design for a pandemic

et al. 2022

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“…Finally, it is important to say that the optimization of the objective function in this study is a highly nonlinear problem which is complex and difficult to demonstrate the joint concavity. Due to this fact, the optimization of the total profit per unit time can be done thru a heuristic algorithm like those in Goil et al (2020, 2021), Khakbaz and Tirkolaee (2021), Babaeinesami et al (2022) and Alinezhad et al (2022). For future research, the deteriorating items with maximum lifetime under the conditions of the preservation technology investment which will result in carbon emissions increase, therefore, this study can be extended to consider the green technology such as Lotfi et al (2021aLotfi et al ( , 2021bLotfi et al ( , 2021cLotfi et al ( , 2021e, 2022 revealed sustainable supply chains.…”

Section: Discussionmentioning

confidence: 99%

Optimal ordering policy and preservation technology for deteriorating items with maximum lifetime under a resilient hybrid payment decision

Chung

Lee

Srivástava

et al. 2023

JIMO

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<p style='text-indent:20px;'>This study demonstrates an inventory system with items changing value over time under various realistic environments. It is assumed that the time-varying deterioration rate depending on the maximum lifetime of items and the items exceeding the maximum lifetime are regarded as scarp and no longer serviceable. As a result, the retailer will invest in preservation technology to reduce the reckless deterioration. On the other hand, the retailer receives an upstream advance-cash-credit payment plan from the supplier while offering a downstream cash-credit payment plan to customers to stimulate sales. As above description, we incorporate the relevant phenomena into the proposed inventory model, then the primary objective is to determine the replenishment cycle time and the preservation technology which maximizes the retailer's total profit. Consequently, the contributions of this study have three parts as follows: (1) Addressing the economic (total profit) and technology (preservation technology) impacts simultaneously; (2) The propositions and theorems are derived along with a solution procedure; (3) It is proved that the optimal solution not only exists but also is unique under some conditions. Next, an algorithm is developed which simplifies the search for the sustainable optimal ordering strategies. Numerical examples and a sensitivity analysis are elaborated to validate the mathematical formulation. Findings are summarized and managerial implications are also discussed.</p>

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“…Later, Sazvar et al [44] exhibited a new replenishment policy in a coordinated supply chain by developing a linear multi-objective mathematical model. Babaeinesami et al [4] and Alinezhad et al [3] developed a closedloop supply chain problem by considering three, objective functions; one is maximization of the total profit, second is the minimization of total carbon footprint cost and third is the minimization of the maximum demand back log rate. To solve multi-objective optimization problems, various methods such as multi-objective grey wolf optimizer and multi-objective water cycle algorithm (Khalilpourazari et al [20]) have been proposed.…”

Section: Sustainable and Multi-objective Inventory Modelmentioning

confidence: 99%

Impacts of green and preservation technology investments on a sustainable EPQ model during COVID-19 pandemic

Barman

Pervin²,

Roy

2022

RAIRO-Oper. Res.

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Carbon and Sulfur dioxides emissions are the key issues of global warming that affects on human health. Emissions cap- and -trade policy is a key mechanism implemented in several countries to reduce the emissions. Nowadays, public gathering is restricted due to the pandemic situation caused by COVID-19. As a result, people are facing huge problems in their regular activities and lifestyle. During the lockdown periods, demands for few merchandises decrease and the deterioration rate increases. Moreover, because of the unavailability of raw materials and labours during the lockdown, shortages occur at the manufacturing company. Keeping these problems in mind, a multi-objective sustainable economic production quantity model is proposed with partially back-ordering shortages, in which the effects of sustainability are investigated. To handle the demand fluctuation throughout the current pandemic, emergency level dependent demand rate is assumed. To reduce greenhouse gases emissions and deterioration rate, investments in green technology and preservation technology efforts are used. The objectives of this study are to maximize the manufacturer’s profit and minimize the greenhouse gases emissions for producing green products. The multi-objective model is solved by utilizing the fuzzy goal programming approach. The mathematical model is illustrated by four numerical examples. The main finding of the work is that under both green and preservation technologies investments, a sustainable model with partially back-ordering shortages and lockdown level dependent demand rate decreases justifiable greenhouse gases emissions and increases the product’s greening level. The results indicate that the system profit is increased by 16.1% by investing in both preservation and green technology. Furthermore, a sensitivity analysis is performed along with some managerial insights for practitioners. Finally, the paper is ended with conclusions and future research tips.

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A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries

Cited by 44 publications

References 54 publications

Viable healthcare supply chain network design for a pandemic

Viable healthcare supply chain network design for a pandemic

Optimal ordering policy and preservation technology for deteriorating items with maximum lifetime under a resilient hybrid payment decision

Impacts of green and preservation technology investments on a sustainable EPQ model during COVID-19 pandemic

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